Instructions to use houseozis/serine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use houseozis/serine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("houseozis/serine", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d68720e5c27ad40953718270fd4be5fea529735bc1cd050488c2a18f23ba6443
- Size of remote file:
- 246 MB
- SHA256:
- 706c07b5956ac953b0a5972b9ac4fb4142b163030b47ce15d9cc98da357c7f19
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